ImageAugust 4, 2026· 6 min read

HDR Image Conversion: Preserving Dynamic Range Across Formats

Your phone captured stunning HDR photos. Then you realized most platforms don't support it. Here's how to convert without losing that magic.

HDR Image Conversion Guide

You know that moment when you capture a perfect sunset on your iPhone or mirrorless camera? The sky is rich and detailed, shadows pop with texture, and the overall dynamic range is just... massive. Then you share it to Instagram and it looks washed out. That's the HDR conversion problem.

Modern cameras and phones capture in HDR by default. Your sensor can record brightness values ranging from 0 to 10,000+ (compared to traditional SDR's 0-255 limit). But most platforms, screens, and file formats only support SDR. So somewhere along the line, that gorgeous dynamic range gets crushed into a flat, narrow range. The result? Your masterpiece looks mediocre.

What Actually Happens During Conversion?

Here's the thing: converting HDR to SDR is compression. You're taking information that spans from 0-10,000 and fitting it into 0-255. That's like taking a 6-lane highway and squeezing it down to a 2-lane road. Some traffic is going to get backed up.

Most naive converters just clip the extremes—highlights get crushed to pure white, shadows go to black, and you lose all that beautiful detail. Professional conversion uses tone mapping, which intelligently decides what survives the compression. Good tone mapping:

  • Preserves mid-tone detail (the stuff your eye cares most about)
  • Maintains local contrast so images don't look flat
  • Avoids the over-processed, artificial "tonemapped" look
  • Adapts to different image types (landscapes need different treatment than portraits)

The best tone mapping algorithms are content-aware. They analyze your image and apply different compression curves to different regions. A sunset gets different treatment than a portrait—because they have different dynamic range characteristics.

Which Formats Actually Support HDR?

This is where things get interesting. Not all formats are created equal:

  • JPEG XL — Technically the best. Lossless HDR, incredible compression, wide color gamut. Problem: browser adoption is glacial.
  • AVIF — Excellent HDR support, modern codec, growing browser support. Chrome, Firefox, Safari now handle it on newer devices.
  • WebP with HDR — Good option if you need broader compatibility. Not all browsers support the HDR profile yet.
  • HEIF/HEIC — Apple's format. Great for iOS/macOS workflows, limited elsewhere.
  • PNG, JPEG — No native HDR support. Period. Converting to these means tone mapping down to SDR.
  • RAW files — Store the full HDR data, but they're massive and require software to view.

For web content in 2026, AVIF is genuinely becoming the standard. It handles HDR elegantly, has solid browser support on modern devices, and compresses better than JPEG XL while being more compatible.

The Workflow: Editing in HDR, Delivering in Both

Here's what professional photographers and content creators do now:

Step 1: Edit in HDR. Lightroom, Photoshop, and Capture One all support HDR editing now. You work with the full dynamic range, which gives you way more flexibility in highlights and shadows.

Step 2: Export the HDR master. Keep a high-quality HDR version (AVIF, JPEG XL, or RAW) as your archive. This is your "source of truth" that contains all the image data.

Step 3: Create tone-mapped SDR versions. Most tools let you specify a tone mapping profile during export. Export once for web (using batch conversion tools to handle multiple files), once for social media, once for print. Each tone map is optimized for its destination.

This is way better than the old workflow of editing in SDR, exporting once, and calling it done. You preserve maximum flexibility and can always re-export if you change your mind about the tone mapping.

Tone Mapping Strategies

Not all tone mapping is equal. Here are the main approaches:

Filmic tone mapping mimics how film handles dynamic range—graceful rolloff in highlights, natural compression. Good for everything.

Reinhard tone mapping uses a photographic approach—works well for outdoor shots where you want to preserve the feeling of the HDR.

Perceptual tone mapping prioritizes what your eye actually cares about—local contrast and mid-tones. Tends to look more natural than aggressive methods.

Most modern converters (including KokoConvert's image conversion tools) use perceptual mapping by default, which is a safe bet. If you're doing professional work, experiment with settings. Different images respond differently.

Color Space Matters Too

Here's a gotcha: tone mapping solves the dynamic range problem, but you also need to handle color space correctly.

HDR images often work in wider color spaces (like DCI-P3 or Rec. 2020) that contain colors SDR sRGB can't display. When converting, you need to map those out-of-gamut colors back into sRGB without losing them entirely.

Gamut mapping algorithms handle this. The best ones compress colors intelligently rather than clipping them. Your sky doesn't turn into a weird shade—it gets gracefully brought into the displayable range.

When using conversion tools, look for options around "gamut mapping method" or "color rendering intent." Perceptual intent works well for most photos.

Practical Tips

Batch convert when possible. Whether you're using KokoConvert's batch tools or scripting locally, processing multiple files at once is way more efficient than one-by-one. Set your tone mapping profile once, let it rip.

Always preview on the target platform. An image that looks great tone-mapped for the web might look dull printed. Mobile phones display colors differently than monitors. Export a few test images and actually look at them on your target.

Keep your original. Never delete the HDR version. Export tone-mapped SDR versions instead. In three years when HDR is more universal, you'll be glad you can re-export.

Understand your tools' limitations. Not every conversion tool supports intelligent tone mapping. Some just apply a fixed curve. Test before committing 1000 images.

The Future (Spoiler: It's HDR)

Here's the good news: HDR is becoming mainstream. New phones, cameras, tablets, and even TVs support it. In a few years, SDR-only platforms will be the weird exception. When that happens, you'll be grateful you kept your HDR originals.

For now, the conversion workflow—edit in HDR, export tone-mapped SDR versions for legacy platforms—is the practical standard. It gives you flexibility and preserves your options.

Your sunset photos deserve better than being crushed into SDR mediocrity. With proper tone mapping and the right formats, you can deliver the dynamic range your camera captured.

Frequently Asked Questions

What exactly is HDR and why should I care?
HDR (High Dynamic Range) captures a much wider range of brightness levels than standard SDR (Standard Dynamic Range) images. Instead of limiting brightness to 0-255 per channel, HDR can represent values from 0 to 10,000 (and beyond). This means brighter highlights without clipping and darker shadows with more detail. If you shoot with modern phones, mirrorless cameras, or even professional gear, your images likely contain HDR data. The problem is most screens and formats don't support it, so that beautiful dynamic range gets lost during conversion.
Can you convert HDR to SDR without losing quality?
Not without some loss. Converting HDR to SDR is fundamentally compressing information into a narrower range. Think of it like fitting a sunset that spans 0-10,000 brightness units into a range of 0-255. What you can do is minimize visible loss through intelligent tone mapping. Good tone mapping preserves mid-tone detail, maintains local contrast, and avoids the washed-out or overly processed look. The result won't be identical, but it can look natural and retain the character of the original.
Which image formats support HDR?
JPEG XL, AVIF, WebP (with HDR variants), and HEIF are your best bets. PNG and standard JPEG do not support HDR. RAW formats (CR3, ARW, DNG) preserve full HDR data but are huge files. For web, AVIF with HDR gains browser support yearly—Chrome, Firefox, and Safari now support it on modern devices. JPEG XL is technically superior but adoption is slower. For archiving, stick with RAW or TIFF with extended color depth.
What's the difference between tone mapping and color profile conversion?
Tone mapping compresses the dynamic range (brightness range) from HDR into SDR. Color profile conversion handles color space mapping (like sRGB to Adobe RGB). You often need both. Tone mapping decides which highlights and shadows survive the compression. Color profiles ensure colors display consistently across devices. A tone-mapped image in the wrong color space will look dull or oversaturated.
Should I convert to HDR or keep SDR originals?
Keep both. Always preserve your HDR original (whether RAW or an HDR-capable format). Then create tone-mapped SDR versions for web, social media, or SDR-only workflows. HDR editing in Lightroom, Photoshop, and Capture One is now practical, so editing in HDR and exporting tone-mapped versions gives you maximum flexibility. Your original stays intact if you need to re-export later with different tone mapping settings.